The Magic of Pretest/Posttest and Longitudinal Data Analysis
About the Course
Presented by William M. Bannon, Jr., PhD.
Use the link above to purchase a seat in the next 6 week webinar class, The Magic of Pretest/Posttest and Longitudinal Data Analysis.
The class will be held from September 19, 2016 to October 27, 2016. The early registration fee of $250 covers the cost of registration and all course materials. Early registration will close on August 12, 2016. After that date the full registration fee of $300 will apply.
For registration assistance use the email address atop this page (Helpful Note: When registering, after selecting Country, the page will reload and you will select U.S. State, above the box listing Country).
WHAT PEOPLE ARE SAYING
Comments from prior attendees include “Dr. Bannon proves clear explanation of the methods, with simple rationale for why some program options are being used, and clear guidance for interpreting results…with a low pressure and friendly instructional style. Can’t ask for more than that.”
A full 100% of attendees rated the class as Extremely/Very Useful
100% of attendees also reported they would recommend the class to others
THE THOUGHT PROCESS BEHIND THIS COURSE
Data analysis involving a pretest/posttest and/or longitudinal study design enables a researcher to examine how outcomes change over time. One could say that this is almost a magical sort of quality, as there are few tools that empower an observer to understand how factors develop and change either in a natural setting or as a results of some intervention. However, before a researcher can benefit from producing the type of findings associated with this type of data analysis, he or she must have a solid understanding of the statistical methods required. Subsequently, this webinar program has been created to review the essentials of conducting and reporting a pretest/posttest and longitudinal data analysis study.
COURSE OBJECTIVES
The objective of this webinar program is to enable the participant to structure and implement a pretest/posttest and/or longitudinal quantitative study on their own.To meet this overall objective, attendees will meet a list of smaller objectives that include (but are not limited to):
1. Learning the foundations of statistical analysis for a Pretest/Posttest study: Step by step guidance will be provided in detail regarding the data analytic methods appropriate for a pretest/posttest study at the univariate, bivariate, and multivariate levels.
2. The utility of change scores (a.k.a., difference scores) in Pretest/Posttest research: Attendees will learn how compute change scores that reflect the true dependent/outcome variable involved in the pretest/posttest study, as well as how to use these change score to identify covariate variables that are associated with pretest to posttest changes at a statistically significant level.
3. Learning the essentials of statistical analysis for a Longitudinal study: Attendees will learn how to perform statistical analysis for a longitudinal study (i.e., a quantitative study with 3 or more timepoints). Data analysis will be reviewed at the univariate, bivariate, and multivariate levels.
4. Learning the necessary details and test assumptions associated with Pretest/Posttest and Longitudinal quantitative data analysis: Pretest/Posttest and longitudinal data analysis have certain details and test assumptions that must be considered if these methods are to produce solid research findings. These crucial factors will be reviewed clearly in this webinar.
5. Publishing findings: Attendees will learn how to conduct the write-up and report the results of the data analysis in manuscript form.
COURSE FEATURES
Several resources are provided to meet the objectives, including weekly presentations, personalized attention, and written materials. Specifically, the webinar features include:
1. Weekly Webinar Presentations: All presentations are recorded so each may be watched at the viewer’s convenience. Attendees have indefinite access to the presentations during and after the webinar. A new 1 to 2 hour webinar presentation will be made available to participants every Monday during the 6-week duration of the program (emailed to the attendee by 9am EST). All examples and lecture notes will use SPSS.
2. Q and A Sessions: Learning these materials is often facilitated by the participant being able to present their questions directly to the facilitator. Therefore, participants will be able to email their questions on the material directly to Dr. Bannon every Thursday (a 24 hour Q and A session) during the program and have him respond to them personally.*
3. Written Materials: A written chapter (PDF) detailing the materials presented to detail and elaborate upon the content presented in each weekly webinar.The combined chapters will produce a manual containing detailed lecture notes, examples of computer printouts, and several other useful features.
4. One-Hour Personal Consultation: Participants often have specific projects which they are applying this learning to. Additionally, participants often prefer to present some questions by phone or in person. Subsequently, Dr. Bannon will schedule a 1-hour personal consultation by phone or in person (regularly $192 at the student rate) with each participant to discuss any topic of the participants choosing (e.g., webinar course materials, a project that is being developed or worked upon).*
5. Writing Critique: Reporting findings in scientific text and tables is a skill. Many times a critique and feedback to one’s work is of great benefit. Subsequently, as a part of this webinar there will be a small writers workshop where participants are welcome to submit up to 10 pages of scientific writing (e.g., the methods and results sections of a dissertation or research study) to Dr. Bannon for critique and feedback.*
*Due to the high level of personalized attention in this program, seats for the webinar will be very limited.
WHO SHOULD ATTEND?
This course is designed to facilitate a foundational understanding of the process of quantitative data analysis involving a study with a Pretest/Posttest and/or Longitudinal study design. Therefore, students, academic, and professionals approaching Pretest/Posttest and/or Longitudinal quantitative data analysis at the fundamental level or those who would like a refresher course would find this course useful. Doctoral students that must complete dissertation and capstone studies using statistical methods appropriate for a Pretest/Posttest and/or Longitudinal quantitative data analysis will find this course of particular use, as the information helps set the entire foundation for such a quantitative study, as well as instructs on how to implement the analysis and write up findings in a manuscript or chapter form.
REGISTRATION
Use the link below to purchase a seat in the next 6 week webinar class. The class will be held from September 19, 2016 to October 27, 2016. The early registration fee of $250 covers the cost of registration and all course materials. Early registration will close on August 12, 2016. After that date the full registration fee of $300 will apply.
After registration you will receive an email confirming your seat in the session.